Robert J. Carroll
Orcid: 0000-0003-3802-8183
According to our database1,
Robert J. Carroll
authored at least 37 papers
between 2012 and 2024.
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Bibliography
2024
Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records.
J. Am. Medical Informatics Assoc., January, 2024
2023
Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics.
Bioinform., October, 2023
Managing re-identification risks while providing access to the <i>All of Us</i> research program.
J. Am. Medical Informatics Assoc., April, 2023
J. Am. Medical Informatics Assoc., February, 2023
2022
Patterns, 2022
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.
BMC Medical Informatics Decis. Mak., 2022
Comparing medical history data derived from electronic health records and survey answers in the <i>All of Us</i> Research Program.
J. Am. Medical Informatics Assoc., 2022
Inference-based correction of multi-site height and weight measurement data in the <i>All of Us</i> research program.
J. Am. Medical Informatics Assoc., 2022
Harmonizing FHIR and Common Data Models Used in Research: Current State and a Path Forward.
Proceedings of the AMIA 2022, 2022
Proceedings of the AMIA 2022, 2022
Self-paced Training Modality to Promote the Use of All of Us Researcher Workbench in Educational and Research Settings.
Proceedings of the AMIA 2022, 2022
2021
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.
npj Digit. Medicine, 2021
Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program.
J. Am. Medical Informatics Assoc., 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
The All of Us Research Program Researcher Workbench: Cloud based access and analytics to advance precision medicine.
Proceedings of the AMIA 2020, 2020
The All of Us Research Program Researcher Workbench Phenotype Library: Five Disease Implementations.
Proceedings of the AMIA 2020, 2020
Proceedings of the AMIA 2020, 2020
2019
J. Biomed. Informatics, 2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
J. Biomed. Informatics, 2019
J. Biomed. Informatics, 2019
Proceedings of the AMIA 2019, 2019
2018
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.
J. Am. Medical Informatics Assoc., 2018
J. Am. Medical Informatics Assoc., 2018
Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects.
Bioinform., 2018
2017
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.
J. Am. Medical Informatics Assoc., 2017
Association of BMI and Obesity Genetic Risk Score with Surgical Procedures Through a Procedure-wide Association Study.
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
HealthPro: An integrated web application for essential health data and biological specimen collection in the Precision Medicine Initiative.
Proceedings of the AMIA 2017, 2017
The Data and Research Center of the All of Us Research Program: Framework for a National Cohort Program and Research Opportunities.
Proceedings of the AMIA 2017, 2017
2015
Proceedings of the AMIA 2015, 2015
2014
R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment.
Bioinform., 2014
Proceedings of the AMIA 2014, 2014
Proceedings of the AMIA 2014, 2014
2013
Using PheWAS and Natural Language Processing to Discover Clinical Associations for Congenital Chest Deformities.
Proceedings of the AMIA 2013, 2013
Proceedings of the AMIA 2013, 2013
2012
Portability of an algorithm to identify rheumatoid arthritis in electronic health records.
J. Am. Medical Informatics Assoc., 2012
Using PheWAS to Assess Pleiotropy of Genetic Risk Scores for Rheumatoid Arthritis and Coronary Artery Disease in the eMERGE Network.
Proceedings of the AMIA 2012, 2012